--- title: "Haolun Wu · University of Toronto — author profile and papers" description: "Haolun Wu, University of Toronto: 4 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/haolun-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haolun-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haolun Wu # Haolun Wu Haolun Wu has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Weixu Zhang](https://md.research.elamur.ai/free/en/authors/weixu-zhang/), [Xue Liu](https://md.research.elamur.ai/free/en/authors/xue-liu/), [Ye Yuan](https://md.research.elamur.ai/free/en/authors/ye-yuan/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139737675) · [**h-index 1**](https://openalex.org/authors/A5139737675) · [9 works](https://openalex.org/works?filter=author.id:A5139737675) · [2 citations](https://openalex.org/works?filter=author.id:A5139737675&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/haolun-wu/#papers) · [🔗 Cited 18 times in our library](https://md.research.elamur.ai/free/en/authors/haolun-wu/cited-by/) · [⭐ Paper Stars ranking: #7002](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7002) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Haolun+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haolun+Wu) · [dblp](https://dblp.org/search?q=Haolun+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Haolun+Wu) ## Affiliations [🎓**McGill University** Montreal · Canada 2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/mcgill-university/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**University of Toronto** Toronto · Canada 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/haolun-wu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/haolun-wu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Retrieval-Augmented Generation for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/wu-2024-retrieval-augmented-generation-natural-language/)** *(2024 · 86 citations)* Large language models store knowledge implicitly in their weights. As a result, they can produce fluent but false answers, they need costly retraining to refresh facts, and they often lack depth in specialised domains. Retrieval-augmented generation (RAG) addresses these issues by consulting an external knowledge… 2. **[Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-context-fidelity-boosting-enhancing-faithful/)** *(2026 · 1 citation)* When LLMs answer questions or summarize from a supplied passage, they often fall back on knowledge memorized in pretraining. 3. **[Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization](https://md.research.elamur.ai/free/en/papers/zhang-2026-preference-heads-large-language-models/)** *(2026 · 1 citation)* LLMs can adapt to a user's tone and topical interests, but current personalization methods (prompting, retrieval of user profiles, fine-tuning) treat this ability as a black box. 4. **[GlossaGen: Making Academic Translation Smarter with Glossing](https://md.research.elamur.ai/free/en/papers/wang-2026-glossagen-making-academic-translation-smarter/)** *(2026)* Non-native readers of English scientific papers need help with comprehension, but they also need to learn the field's vocabulary. ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Weixu Zhang](https://md.research.elamur.ai/free/en/authors/weixu-zhang/) ×2 - [Xue Liu](https://md.research.elamur.ai/free/en/authors/xue-liu/) ×2 - [Ye Yuan](https://md.research.elamur.ai/free/en/authors/ye-yuan/) ×2 - [Yuxing Tian](https://md.research.elamur.ai/free/en/authors/yuxing-tian/) ×2 - [Can Chen](https://md.research.elamur.ai/free/en/authors/can-chen/) - [Duzhen Zhang](https://md.research.elamur.ai/free/en/authors/duzhen-zhang/) - [Fanghua Ye](https://md.research.elamur.ai/free/en/authors/fanghua-ye/) - [Jian Li](https://md.research.elamur.ai/free/en/authors/jian-li/) - [Juntian Zhang](https://md.research.elamur.ai/free/en/authors/juntian-zhang/) - [Nan Du](https://md.research.elamur.ai/free/en/authors/nan-du/) - [Xiaolong Li](https://md.research.elamur.ai/free/en/authors/xiaolong-li/) - [Xiuying Chen](https://md.research.elamur.ai/free/en/authors/xiuying-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Artificial Intelligence Review](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/): [Artificial Intelligence Review 2024](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/2024/) ## Cited by Papers of our library cite their works 18 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haolun-wu/cited-by/). Updated 1 November 2026